Published October 29, 2026 | Version 1.0.0

Data and code for: Testing the Pendulum Model of Golf Putting: A Stroke-by-Stroke Kinematic-Chain Analysis Using Wearable Inertial Sensors and a Launch Monito

  • 1. ROR icon Jilin University
  • 2. Jilin Sport University

Description

  De-identified data and analysis code for a study of 20 right-handed golf-major university students who each performed ten straight 5 m putts while wearing a full-body inertial motion-capture suit (Perception Neuron, 60 Hz), with a launch monitor (GCQuad) recording every stroke. Grip motion and forearm roll were decomposed into joint and rotation-axis contributions through a rigid-body kinematic-chain identity. The archive contains (1) the code repository (preprocessing, analysis, synthetic validation, processed data, results and figures; also at https://github.com/haochenwu1110/putting-kinematic-chain) and (2) the 200 raw motion-capture recordings (raw_motion_capture.zip). Participants are coded P01–P20. Run "python reproduce.py" to regenerate all statistics, Table 2 and Figures 2–4 of the paper.

Files

putting-kinematic-chain-v1.0.0.zip

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md5:6ea4af31875ba44045b0a706d9f2e44b
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Software